Overview

AI governance examines who sets the rules for AI, how responsibilities are distributed, and how systems can be made accountable across their lifecycles. Approaches include risk-based regulation such as the EU AI Act, standards such as the NIST AI Risk Management Framework, and practical tools including audits, impact assessments, human oversight, incident reporting, runtime monitoring, and governance-as-code. Researchers also study public participation, rights, labor, privacy, and how governance differs across sectors and countries. A central tension is that formal policies and compliance records do not necessarily prove effective control or prevent harm, especially as AI systems become more autonomous and depend on complex supply chains.

Latest papers

CardsList

386 papers28 papers in the last four weeks, down 44% on the four weeks before. 0.2% of all new papers.

  1. The Security Cost of Intelligence: AI Capability, Cyber Risk, and Deployment Paradox

    Apr 24, 2026Sukwoong ChoiAI Risk ManagementCybersecurity

  2. Institutions for the Post-Scarcity of Judgment

    Apr 24, 2026Lauri LovénAI AccountabilityAI Governance

  3. A Co-Evolutionary Theory of Human-AI Coexistence: Mutualism, Governance, and Dynamics in Complex Societies

    Apr 24, 2026Somyajit ChakrabortyAI AlignmentAI Governance

  4. Mathematical Modelling of Ethical AI Use in Higher Education: A Coordination Game Framework for Future-Facing Learning

    Apr 23, 2026Ndidi Bianca Ogbo, Zhao Song, Shatha Ghareeb +1Educational AssessmentGenerative AI in Education

  5. Bounding the Black Box: A Statistical Certification Framework for AI Risk Regulation

    Apr 23, 2026Natan Levy, Gadi PerlAI AssuranceAI Risk Management

  6. Engaged AI Governance: Addressing the Last Mile Challenge Through Internal Expert Collaboration

    Apr 23, 2026Simon Jarvers, Orestis PapakyriakopoulosAI GovernanceAI Regulatory Compliance

  7. Measuring the Machine: Evaluating Generative AI as Pluralist Sociotechical Systems

    Apr 22, 2026Rebecca L. JohnsonAI GovernanceGenerative AI Evaluation

  8. Informing AI Policy Assessment using Large-Scale Simulation of Interventions

    Apr 20, 2026Julia Barnett, Kimon Kieslich, Natali Helberger +1Participatory AIAI Governance

  9. Position: No Retroactive Cure for Infringement during Training

    Apr 20, 2026Satoru Utsunomiya, Masaru Isonuma, Junichiro Mori +1AI AccountabilityAI Governance

  10. The Open-Weight Paradox: Why Restricting Access to AI Models May Undermine the Safety It Seeks to Protect

    Apr 19, 2026Vinicius Santana GomesAI Governance

  11. High-Risk AI Systems and the Problem of Identity in the European AI Act

    Apr 17, 2026Andrea FerrarioAI AssuranceAI Governance

  12. Reckoning with the Political Economy of AI: Avoiding Decoys in Pursuit of Accountability

    Apr 17, 2026Janet Vertesi, danah boyd, Alex Taylor +1AI AccountabilityAlgorithmic Accountability

  13. Bureaucratic Silences: What the Canadian AI Register Reveals, Omits, and Obscures

    Apr 16, 2026Dipto Das, Christelle Tessono, Syed Ishtiaque Ahmed +1Algorithmic AccountabilityAI Governance

  14. Data-driven and distributed governance of building facilities management using decentralized autonomous organization, digital twin, and large language models

    Apr 16, 2026Reachsak Ly, Alireza Shojaei, Xinghua Gao +2AI-Assisted Decision MakingAI Governance

  15. Governing Reflective Human-AI Collaboration: A Framework for Epistemic Scaffolding and Traceable Reasoning

    Apr 16, 2026Rikard Rosenbacke, Carl Rosenbacke, Victor Rosenbacke +1AI GovernanceHuman-AI Collaboration

  16. The Missing Knowledge Layer in AI: A Framework for Stable Human-AI Reasoning

    Apr 16, 2026Rikard Rosenbacke, Carl Rosenbacke, Victor Rosenbacke +1LLM Uncertainty EstimationAI Governance

  17. AI of the People, by the People, for the People: A Social Choice Approach to Collective Control of Artificial Intelligence

    Apr 14, 2026Paul Anton Bachmann, Niclas Boehmer, Lukas Daniel Klausner +1AI ControlAI Governance

  18. Artificial Intelligence Index Report 2026

    Apr 14, 2026Sha Sajadieh, Loredana Fattorini, Raymond Perrault +20AI for ScienceAI Governance

  19. Inspectable AI for Science: A Research Object Approach to Generative AI Governance

    Apr 13, 2026Ruta Binkyte, Sharif Abuaddba, Chamikara Mahawaga +3AI GovernanceAI-Assisted Scientific Research

  20. Taking a Pulse on How Generative AI is Reshaping the Software Engineering Research Landscape

    Apr 13, 2026Bianca Trinkenreich, Fabio Calefato, Kelly Blincoe +8AI-Assisted Scientific ResearchAI Governance

  21. A Proposed Biomedical Data Policy Framework to Reduce Fragmentation, Improve Quality, and Incentivize Sharing in Indian Healthcare in the era of Artificial Intelligence and Digital Health

    Apr 13, 2026Nikhil Mehta, Sachin Gupta, Gouri RP AnandAI Governance

  22. AI Integrity: A New Paradigm for Verifiable AI Governance

    Apr 13, 2026Seulki LeeAI GovernanceAI Assurance

  23. Examining EAP Students' AI Disclosure Intention: A Cognition-Affect-Conation Perspective

    Apr 13, 2026Yiran Du, Huimin HeGenerative AI in EducationAI Governance